Pass detection data
26 February 2019
Tom Barchyn
University of Calgary
tbarchyn@ucalgary.ca

These data detail pass based detection metrics.
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pass_detection_summaries.csv
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The file has the following headers:
Plume pass ID: a unique ID for each plume pass (corresponds to raw pass data).
Flux (g/s): the controlled flux rate.
Wind speed (m/s): the ground wind speed at the release stack for the pass.
Batch: a unique ID for each test (combination of convolution and required initial anomaly).
Convolution size: the number of points used in data convolutions.
Plume detected: TRUE or FALSE, whether the real plume was detected.
False positives per km: the number of false positives detected as a function of plume pass length.
False positives per second: the number of false positives per second during the pass.
Number of false positives in pass: the number of false positives in the plume pass.
Number of plumes in pass: the number of plumes detected in the pass.
Used in detection probability calculations: TRUE or FALSE, whether pass was used in detection calculations.
Required initial anomaly (ppmv): the required initial anomaly to define a plume.
Stability class: the stability class used in Gaussian enhancement calculations.
Distance from source (m): distance from source to center of true positive plume center, or pass center if no true positive plume detection was found.
Gaussian enhancement (g/m^3): the calculated Gaussian concentration enhancement for the plume pass.
